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Record W2031274222 · doi:10.2118/2008-200-ea

Economics of Mannville CBM Development: Drilling & Production Innovation At Corbett Creek

2008· article· en· W2031274222 on OpenAlexaboutno aff
J.R. Cockbill, C.M. Finn, Michał Krawiec

Bibliographic record

VenueCanadian International Petroleum Conference · 2008
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsProduction (economics)DrillingPetroleum engineeringManufacturing engineeringEngineeringNatural resource economicsEconomicsMechanical engineering

Abstract

fetched live from OpenAlex

This paper is an extended abstract only. The full-length paper is not available. Abstract The Corbett Creek Project is currently the only commercial Mannville Coalbed Methane (CBM) project in Canada. Economics of Mannville CBM development can be challenging. CBM wells require an extended period of dewatering prior to initial gas production, which places a high demand on capital in the early life of the project. Continued advancement in drilling technology and operating practices are necessary to control cost and optimize production. This presentation will briefly review the development history of the Corbett project from its inception in 2000 as a five-spot vertical pilot through to the current horizontal development scheme. Trident's evolving exploitation strategy was instrumental in reducing drilling costs and achieving economic rates. We will explain how production was influenced by well design, and discuss the operating practices Trident is currently developing to reduce its operating costs. Over the past year, Trident's multi-lateral wells have displayed the potential to free flow, gas lifting water without the use of artificial lift systems. If perfected, operating costs could be significantly reduced by minimizing the dependence on artificial lift systems, which are expensive to replace and maintain. Trident is currently working on identifying the driving force behind its free flowing wells in an effort to make this phenomenon repeatable and significantly reduce operating cost in the field. Introduction The Mannville formation encompasses a large area of the Central Alberta Plains and upper Mannville coals found within this sedimentary package are estimated to contain in excess of 360TCF of natural gas(1). Multiple pilot projects have been developed in both the wet and dry Mannville coal bed methane (CBM) fairways with varying success. In July 2005 Trident, along with its partner Nexen, announced commercial production from the wet Mannville CBM project at Corbett Creek, located 90 miles NW of Edmonton, Alberta. The Corbett project proved the Mannville coals in Alberta were capable of economic production. Early development of the Corbett Creek project placed a significant demand on capital due to the requirements of producing from a wet Mannville coal. Facilities to handle large volumes of produced saline water had to be constructed well in advance of full scale development and the extended dewatering period prior to initial gas production restricted revenues from the wells. To help overcome this obstacle, Trident began to utilize horizontal drilling technologies to accelerate the dewatering period, increase gas rates and provide quicker returns. Horizontal development achieved its objective, but introduced new operational challenges. New pumping technologies had to be developed for horizontal CBM production, and operating costs increased significantly. Trident continues to develop and test new drilling and completion technologies in an effort to optimize production in the field. Over the past year, some of the horizontal wells have begun to flow freely, gas lifting the water without the continuous use of artificial lift systems. If a pattern can be identified to make this phenomenon repeatable, the potential exists to significantly reduce operating costs in the field and generate much higher returns.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.241
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2008
Admission routes1
Has abstractyes

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